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Bill Fulkerson

New insights into the global silicon cycle - 0 views

phys.org/...9-insights-global-silicon.html

cycle silicon

shared by Bill Fulkerson on 04 Sep 20 - No Cached
  • Bill Fulkerson on 04 Sep 20
     
    Silicon is the second-most abundant element in Earth's crust and it plays a vital role in plant life, both on land and in the sea. Silicon is used by plants in tissue building, which helps to ward off herbivorous animals. In the ocean, phytoplankton consume enormous amounts of silicon; they get a constant supply courtesy of rivers and streams. And silicon winds up in rivers and streams due to erosion of silicon-containing rocks. Land plants also use silicon. They get it from the soil. In this new effort, the researchers began by noting that the terrestrial biogeochemical cycling of silicon (how it moves from plants back to the soil and then into plants again) is poorly understood. To gain a better understanding of how it works, they ventured to a part of Western Australia that, unlike other parts of the world, has not been impacted by Pleistocene glaciations. The soil there gave the researchers a look at the silicon cycle going back 2 million years.
Bill Fulkerson

From trash to treasure: Silicon waste finds new use in Li-ion batteries - 0 views

phys.org/...-silicon-li-ion-batteries.html

batteries treasure silicon trash

shared by Bill Fulkerson on 09 Feb 21 - No Cached
  • Bill Fulkerson on 09 Feb 21
     
    Now, a team of researchers at Osaka University has used flake-shaped Si nanopowder wrapped by ultrathin graphite sheets (GSs) to fabricate LIB electrodes with high areal capacity and current density. Generally treated as industrial waste, Si swarf is generated at a rate of 100,000 tons per year globally from Si ingots that are produced from silica through processes at 1000~1800°C. Water-based coolants and fixed abrasive grain wire saws are paving the way to the use of Si swarf as an anode active material with a high capacity at a reduced cost.
Steve Bosserman

The Digital Gap Between Rich and Poor Kids Is Not What We Expected - The New York Times - 0 views

www.nytimes.com/...al-divide-screens-schools.html

technology education digital divide mobile devices classroom

shared by Steve Bosserman on 29 Oct 18 - No Cached
  • It wasn’t long ago that the worry was that rich students would have access to the internet earlier, gaining tech skills and creating a digital divide. Schools ask students to do homework online, while only about two-thirds of people in the U.S. have broadband internet service. But now, as Silicon Valley’s parents increasingly panic over the impact screens have on their children and move toward screen-free lifestyles, worries over a new digital divide are rising. It could happen that the children of poorer and middle-class parents will be raised by screens, while the children of Silicon Valley’s elite will be going back to wooden toys and the luxury of human interaction.
Steve Bosserman

Google and corporate news giants forge new alliance - 0 views

nexusnewsfeed.com/...news-giants-forge-new-alliance

independent press algorithms streamlining mainstream media

shared by Steve Bosserman on 28 Apr 18 - No Cached
  • The “new media” monopolists of Silicon Valley and the once-dominant traditional print media have clearly agreed that the “fake news” frenzy is a convenient pretext to step up their censorship of the internet through new algorithms, allowing them to boost their profit margins and silence opposition through a new framework of “algorithmic censorship.”
  • Last April, Google clamped down on alternative media with new structural changes to its algorithms — accompanying the change with an announcement tarring alternative media with the broad black brush of “misleading information, unexpected offensive results, hoaxes and unsupported conspiracy theories” as opposed to what it called “authoritative content.”As a result, organic search-engine traffic to these sites uniformly plummeted to less than half of what it had previously been, devastating many publishers.
  • The “new media” monopolists of Silicon Valley and the once-dominant traditional print media have clearly agreed that the “fake news” frenzy is a convenient pretext to step up their censorship of the internet through new algorithms, allowing them to boost their profit margins and silence opposition through a new framework of “algorithmic censorship.”This new model overwhelmingly favors those who see information and journalism as an article of commerce alone. It poses a stark threat not only to internet users’ ability to access information, but to the ability of citizens and social movements that hope to interact with, participate in, and wield influence over the political and economic activities that determine our lives and the fate of communities across the world.
Steve Bosserman

I am a data factory (and so are you) - 0 views

www.roughtype.com/?p=8394

data human rights commons platforms

shared by Steve Bosserman on 10 May 18 - No Cached
  • Data is no less a form of common property than oil or soil or copper. We make data together, and we make it meaningful together, but its value is currently captured by the companies that own it. We find ourselves in the position of a colonized country, our resources extracted to fill faraway pockets. Wealth that belongs to the many — wealth that could help feed, educate, house and heal people — is used to enrich the few. The solution is to take up the template of resource nationalism, and nationalize our data reserves.
  • Emphasising time well spent means creating a Facebook that prioritises data-rich personal interactions that Facebook can use to make a more engaging platform. Rather than spending a lot of time doing things that Facebook doesn’t find valuable – such as watching viral videos – you can spend a bit less time, but spend it doing things that Facebook does find valuable. In other words, “time well spent” means Facebook can monetise more efficiently. It can prioritise the intensity of data extraction over its extensiveness. This is a wise business move, disguised as a concession to critics. Shifting to this model not only sidesteps concerns about tech addiction – it also acknowledges certain basic limits to Facebook’s current growth model. There are only so many hours in the day. Facebook can’t keep prioritising total time spent – it has to extract more value from less time.
  • But let’s assume that our vast data collective is secure, well managed, and put to purely democratic ends. The shift of data ownership from the private to the public sector may well succeed in reducing the economic power of Silicon Valley, but what it would also do is reinforce and indeed institutionalize Silicon Valley’s computationalist ideology, with its foundational, Taylorist belief that, at a personal and collective level, humanity can and should be optimized through better programming. The ethos and incentives of constant surveillance would become even more deeply embedded in our lives, as we take on the roles of both the watched and the watcher. Consumer, track thyself! And, even with such a shift in ownership, we’d still confront the fraught issues of design, manipulation, and agency.
Steve Bosserman

We Need an FDA For Algorithms: UK mathematician Hannah Fry on the promise and danger of... - 0 views

nautil.us/...we-need-an-fda-for-algorithms

ethics algorithms

shared by Steve Bosserman on 08 Nov 18 - No Cached
  • Right now other people are making lots of money on our data. So much money. I think the one that stands out for me is a company called Palantir, founded by Peter Thiel in 2003. It’s actually one of Silicon Valley’s biggest success stories, and is worth more than Twitter. Most people have never heard of it because it’s all operating completely behind the scenes. This company and companies like it have databases that contain every possible thing you can ever imagine, on you, and who you are, and what you’re interested in. It’s got things like your declared sexuality as well as your true sexuality, things like whether you’ve had a miscarriage, whether you’ve had an abortion. Your feelings on guns, whether you’ve used drugs, like, all of these things are being packaged up, inferred, and sold on for huge profit.
  • Do we need to develop a brand-new intuition about how to interact with algorithms? It’s not on us to change that as the users. It’s on the people who are designing the algorithms to make their algorithms to fit into existing human intuition.
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